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System Modeling and Control with Resource-Oriented Petri Nets





ISBN 9781138115088
Published June 14, 2017 by CRC Press
312 Pages - 115 B/W Illustrations

 
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Book Description

Petri nets are widely used in modeling, analysis, and control of discrete event systems arising from manufacturing, transportation, computer and communication networks, and web service systems. However, Petri net models for practical systems can be very large, making it difficult to apply such models to real-life problems.

System Modeling and Control with Resource-Oriented Petri Nets introduces a new resource-oriented Petri net (ROPN) model that was developed by the authors. Not only does it successfully reduce model size, but it also offers improvements that facilitate effective modeling, analysis, and control of automated and reconfigurable manufacturing systems.

Presenting the latest research in this novel approach, this cutting-edge volume provides proven theories and methodologies for implementing cost and time-saving improvements to contemporary manufacturing systems. It provides effective tools for deadlock avoidance—deadlock-free routing and deadlock-free scheduling. The authors supply simple and complex industrial manufacturing system examples to illustrate time-tested concepts, theories, and approaches for solving real-life application problems. Written in a clear and concise manner, the text covers applications to automated and reconfigurable manufacturing systems, automated guided vehicle (AGV) systems, semiconductor manufacturing systems, and flexible assembly systems.

Explaining complex concepts in a manner that is easy to understand, the authors provide the understanding and tools needed for more effective modeling, analysis, performance evaluation, control, and scheduling of engineering processes that will lead to more flexible and efficient manufacturing systems.

Table of Contents

Preface
Acknowledgments
The Authors
List of Abbreviations
Introduction to Petri Net Modeling
The Modeling Process
Automated Manufacturing Systems
Historical Perspective of Petri Nets in Automation
Scope and Objectives
Summary
References

Petri Nets: Basic Concept
Basic Concepts
Subclass of PN
Properties
Timed PN
PN with Inhibitor Arcs
Summary
References
Colored Petri Net
A Simple Example
Definitions of CPN
Transition Enabling and Firing Rules
P-Invariant in CPN
Summary
References

Process-Oriented Petri Net Modeling

Introduction
Modeling Method
Resource Sharing in POPN
Characteristics of POPN
Summary
References

Resource-Oriented Petri Net Modeling
Introduction
Steps of ROPN Modeling
Modeling Part Production Processes
Modeling Material Handling Processes
Resource Sharing in ROPN
Characteristics of ROPN
Summary
References

Process- vs. Resource-Oriented Petri Nets

Modeling Power and Model Size
Conservativeness
Structure for Livenes
Example
Summary
References

Control of Flexible and Reconfigurable Manufacturing Systems

Introduction
Deadlock in FMS
System Modeling by CROPN
Existence of Deadlock
Deadlock Avoidance Policy
Liveness of Overall System
Illustrative Example
Implementation
Deadlock Avoidance with Shared Material Handling System
Summary
References

Avoiding Deadlock and Reducing Starvation and Blocking
Introduction
A Simple Example
Relaxed Control Policy
Dependent PPCs in Interactive Subnets
Complexity in Applying the Control Law
Performance Improvement through Examples
Summary
References

Control and Routing of Automated Guided Vehicle Systems
Introduction
Control of AGV Systems with Unidirectional Paths
Control of AGV Systems with Bidirectional Paths
Routing of AGV Systems Based on CROPN
Summary
References

Control of FMS with Multiple AGVs
Introduction
System Modeling with CROPN
Deadlock Avoidance Policy
Illustrative Example
Summary
References

Control of FMS with Multiple Robots
Introduction
Motivation through Example
Deadlock Control Policy
Illustrative Example
Summary
References

Control of Semiconductor Manufacturing Systems
Modeling, Analysis, and Control of Cluster Tools
Deadlock Avoidance in Track System
Deadlock-Free Scheduling of a Track System
Summary
References

Modeling and Control of Assembly/Disassembly Systems
Introduction
A Flexible Assembly System
R-Policy
Modeling FAS by CROPN
Realizable Resource Requirement
Deadlock Avoidance Control Policy
Illustrative Example
Industrial Case Study
Summary
References
Bibliography
Index

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Author(s)

Biography

Naiqi Wu is a professor of industrial and systems engineering in the Department of Industrial Engineering at Guangdong University of Technology, People’s Republic of China. MengChu Zhou is a professor of electrical and computer engineering and the director of the Discrete-Event Systems Laboratory at the New Jersey Institute of Technology, Newark, USA.